AI Glossary
Explore our glossary to discover key terms and concepts in artificial intelligence, machine learning and computer vision.
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Bbox-Polygon Conversion
Polygon-Based Annotation
Polygonal Mask
Polygon Splitting
Polygon Merging
Polygon Clipping
Polygon Simplification
Polygon Approximation
Polygon Perimeter
Polygon Area
Polygon Coordinate
Polygon Contour
Polygon Edge
Polygon Vertex
Complex Polygon
Simple Polygon
Concave Polygon
Convex Polygon
Mask Contour
Mask Region
Mask Pixel
Mask IoU
Mask Accuracy
Mask Union
Mask Intersection
Mask Refinement
Mask Propagation
Mask Annotation
Panoptic Segmentation Mask
Panoptic Segmentation Mask
Semantic Mask
Instance Mask
Binary Mask
Bbox Splitting
Bbox Merging
Bbox Shrinkage
Bbox Expansion
Bbox Aspect Ratio
Bbox Depth
Bbox Height
Bbox Width
Bbox Center
Bbox IoU
Bbox Overlap
Bbox Regression
Bbox Annotation
Bbox Coordinate
Loose Bounding Box
Tight Bounding Box
3D Bounding Box
2D Bounding Box
Oriented Bounding Box (OBB)
Axis-Aligned Bounding Box (AABB)
Annotation Validation
Annotation Testing
Annotation Evaluation
Annotation Optimization
Annotation Iteration
Annotation Version
Annotation Recovery
Annotation Backup
Annotation Desensitization
Annotation Encryption
Annotation Permission
Annotation Collaboration
Annotation Reusability
Annotation Interpretability
Annotation Traceability
Annotation Timeliness
Annotation Redundancy
Annotation Completeness
Annotation Ambiguity
Annotation Confidence
Annotation Weight
Annotation Dictionary
Annotation Mapping
Custom Format
YOLO Format
COCO Format
VOC Format
Annotation Format
Annotation Output
Annotation Result
Annotation Record
Annotation Log
Annotation Relationship Library
Annotation Attribute Library
Annotation Label Library
Annotation Template
Annotation Cycle
Annotation Cost
Annotation Outsourcing
Annotation Service Provider
Annotation Team
Annotator
Offline Annotation
Online Annotation
Batch Annotation
Interactive Annotation
Assisted Annotation
Pre-Annotation
Semi-Automatic Annotation
Automatic annotation
Manual Annotation
Annotation Efficiency
Annotation Precision
Annotation Recall Rate
Annotation Accuracy Rate
Annotation Consistency
Annotation Correction
Annotation Verification
Annotation Review
Quality Control (QC)
Annotation Quality
Annotation Guide
Annotation Specification
Annotation Standard
Annotation Process
Annotation Project
Annotation Task
Annotated Sample
Annotated Dataset
Annotation Software
Annotation System
Annotation Platform
Annotation Tool
Static Target Annotation
Dynamic Target Annotation
Temporal Annotation
Frame Annotation
Video Annotation
Image Caption Annotation
Image Retrieval Annotation
Image Classification Annotation
Object Detection Annotation
Region-Level Annotation
Image-Level Annotation
Pixel-Level Annotation
Background Annotation
Foreground Annotation
Object Annotation
Target Annotation
Scene Annotation
Relationship Annotation
Attribute Annotation
Category Annotation
Label Annotation
Text Annotation
Skeleton Annotation
Key Point Annotation
Panoptic Segmentation Annotation
Instance Segmentation Annotation
Semantic Segmentation Annotation
Polygon Annotation
Bounding Box Annotation
Image Annotation
Data Annotation
CountAnything
Custom Template
T-Rex Label
DINO-XSeek
T-Rex2
Grounded SAM
DINO-X
Grounding DINO
Encord
Stable Diffusion
DALL-E
Median Filtering
Gaussian Filtering
Hough Transform
Image Retrieval
Point Cloud Segmentation
Structure from Motion (SfM)
3D Reconstruction
Multi-Object Tracking (MOT)
Person Re-identification (ReID)
ESRGAN (Enhanced Super-Resolution Generative Adversarial Network)
Neural Style Transfer
Adversarial Examples
Multimodal Fusion
Infrared Vision
Stereo vision
Image Captioning
Visual Question Answering (VQA)
Model Compression
Multi-Scale Feature Fusion
Attention Mechanism
Swin Transformer
Saliency Detection
Otsu's Algorithm
Canny Operator
Image Enhancement
Optical Flow Estimation
Panorama
Image Stitching
Image Registration
Handwriting Recognition
Scene Text Detection
Liveness Detection
Facial Expression Recognition
Facial Landmarks
Face Detection
Face Recognition
Traffic Sign Recognition
Lane Detection
Autonomous Driving Visual Perception
Industrial Defect Detection
Remote Sensing Image Interpretation
Medical Image Analysis
Amazon Rekognition
Azure Computer Vision
Google Cloud Vision API
ImageNet
MMDetection
Visual Odometry
SLAM (Simultaneous Localization and Mapping)
Point Cloud
Depth Estimation
Stereo Matching
Self-Supervised Learning
FPN (Feature Pyramid Network)
StyleGAN
CycleGAN
UNet
ViT (Vision Transformer)
EfficientNet
MobileNet
SSD (Single Shot MultiBox Detector)
Mask R-CNN
Faster R-CNN
ResNet (Residual Network)
HOG (Histogram of Oriented Gradients)
SURF (Speeded Up Robust Features)
SIFT (Scale-Invariant Feature Transform)
OCR (Optical Character Recognition)
Image Denoising
Super-Resolution Reconstruction
Image Generation
Image Classification
Pixel
Manus AI
OpenAI
ChatGPT
Claude
Cross-Modal Agent
Self-Supervised Learning Agent
Edge Agent
Metaverse Agent
Affective Computing Agent
Federated Learning-Enhanced Agent
MCP (Model Context Protocol)
Multi-Agent Game Theory
Recursive Self-Evolution
GRPO (Gradient-Based Reinforcement Learning for Agent Optimization)
Dynamic Memory Management
Hybrid Agent Architecture
L4 Autonomous Agent
Agent-as-a-Service (AaaS)
Multi-Agent System (MAS)
AutoAgent
Pydantic AI
Agno
Swarm
LangGraph
CrewAI
AutoGen
Copilot Studio
MasterAgent
StackBlitz
Replit
Glean
Cursor
Azure AI Agents
Playment
DataLoop
SuperAnnotate
Scale AI
PixelAnnotationTool
CVAT (Computer Vision Annotation Tool)
OpenCV (Open Source Computer Vision Library)
RectLabel
V7
Supervisely
VOTT (Visual Object Tagging Tool)
Makesense.ai
LabelU
LabelMe
LabelImg
X-AnyLabeling
Label Studio
Labelbox
Roboflow
XML
Workflow
Weights
Version
Validate
Two Stage Detector
Tune
Train
Tradeoff
TPU
Tile
TFRecord
TensorFlow.js
TFJS
Test Set Bleed
TensorRT
TensorFlow Lite
TensorFlow
Tensorboard
Tensor Core
Tensor
Synthetic Data
Subjective
Subjective
SOTA
Single Shot Detector
SSD
Split
Self-Adversarial Training
Runtime Environment
Resolution
Requirements
Repo
Remap
Regularization
Region Attribute
Realtime
RasPi
PyTorch
Production
Pretrained Model
Preprocessing
Prediction
Polygon
Pipeline
Computer Vision Platform
Performance
Pascal VOC
PaddlePaddle
Outsourced Labeling
Output
OpenVINO
OpenCV
Open Neural Network Exchange
ONNX
Offline Prediction
Occlusion
Null Annotation
Non-Maximum Suppression
NMS
Neuron
Neural Architecture Search
Neck
Mosaic
Model Zoo
Model Size
Mobile Deployment
Mixed Precision
Loss Function
Localization
Light Detection and Ranging
LiDAR
Layer
Keypoint Detection
JSON
Hosted Model
Hold-Out Set
Head
Gradient
GPU Memory
GPU
Generalize
GAN Synthesis
Framework
FP16
FP8
Floating Point Operations Per Second
FLOPS
Forward Looking Infrared
FLIR
Filter Null
Feature Fusion
Feature
FastAI
Family
False Positive
False Negative
Environment
EMA
Edge Deployment
Early Stopping
Domain Specific
Docker
Distributed
Differentiability
Deployment
Darknet
Custom Head
Custom Dataset
Convolution
Convergence
Container
Confidence Threshold
Confidence
Classification
Class Balance
Checkpoint
Channel
Black Box
Batch Size
Batch Inference
Backpropagation
Augmentation
AUC (Area Under the Curve)
Annotation Group
Annotation Format
Annotation
Anchor Box
Accuracy
Ablation Study
Zero-Shot Learning
Variance
Variable
Unsupervised Learning
Unstructured Data
Underfitting
Type 1 Errors
True Positive Rate (TPR)
Triplet Loss
Transformer
Transfer Learning
Training Data
Taxonomy
Supervised Learning
Stream-based Selective Sampling
Segment Anything Model (SAM)
Scale Imbalance
Robotic Process Automation (RPA)
RLHF (Reinforcement Learning with Human Feedback)
Reinforcement Learning
Regression
Region-Based CNN
Recall
Random Forest
Query Synthesis Methods
Query Strategy
Preprocessing Algorithm
Precision
Pre-trained Model
Panoptic Segmentation
Overfitting
Outlier Detection
Ontology
One-Shot Learning
Object Tracking
Object Localization
Object Detection
Normalization
Noise
NLP (Natural Language Processing)
NIfTI
Neural Network
Nested Classification
Named Entity Recognition (NER)
Model-Assisted Labeling
Model Validation
Model Parameter
Model Accuracy
Model
MLOps (Machine Learning Operations)
Micro-Model
Metadata
Medical Image Segmentation
Mean Square Error (MSE)
Mean Average Precision (mAP)
Machine Learning
LLM (Large Language Models)
Lifecycle
Learning Rate
Label Error
Label
Knowledge
K-Means Clustering
Keypoints
Intersection over Union (IoU)
Interpolation
Instance Segmentation
Inference
Imbalanced Dataset
Image Segmentation
Image Degradation
Image Annotation
Hyperparameter
Human Pose Estimation
Human-in-the-Loop (HITL)
Ground Truth
Greyscale
GPU (Graphical Processing Unit)
Ghost Frames
Generative Pre-Trained Transformer (GPT)
GAN (Generative Adversarial Network)
Frames Per Second (FPS)
Foundation Model
Fine-tuning
Few-Shot Learning
Feature
Feature Vector
Feature Extraction
False Positive Rate
F1 Score
Epoch
Embedding
Edge Detection
Dynamic and Event-based Classification
DICOM
Deep Learning
Decision Tree
Debug
Dataset
Data Types
Data Quality
Data Operations
Data Error
Data Drift
Data Augmentation
Data Approximation
Convolutional Neural Networks
Confusion Matrix
Concept Drift
Computer Vision Ontology
Computer Vision Model
Computer Vision
COCO
Classification
Class Imbalance
Class Boundary
ChatGPT
Chatbot
Calibration Curve
Bounding Box
Blur
Bias
Bidirectional Encoder Representation from Transformers (BERT)
BERT (Bidirectional Encoder Representation from Transformers)
Backbone
Assets
Artificial Intelligence (AI)
Anomaly Detection
Annotation
Anchor Boxes
Alphapose
AI Labeling
AI Assisted Labeling
AI (Artificial Intelligence)
AGI (Artificial General Intelligence)
Active Learning